OpenML
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
0 likes downloaded by 3 people , 9 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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107074 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -11.3477, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, kb_relative_information_score: 2992.1842, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 36.8028, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.9076, kappa: 0.7888, kb_relative_information_score: 4582.9513, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9077, predictive_accuracy: 0.9084, prior_entropy: 0.9135, recall: 0.9084, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, kb_relative_information_score: 862.7495, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9319, kappa: 0.8425, kb_relative_information_score: 9717.1694, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9396, predictive_accuracy: 0.934, prior_entropy: 0.9135, recall: 0.934, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 208.6188, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.47, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 16.996, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, kb_relative_information_score: 540.8835, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -50.4011, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, kb_relative_information_score: 207.3427, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, kb_relative_information_score: 2719.2511, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9485, kappa: 0.8819, kb_relative_information_score: 12961.2494, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9506, predictive_accuracy: 0.9493, prior_entropy: 0.9135, recall: 0.9493, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9324, kappa: 0.8436, kb_relative_information_score: 10868.5637, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9344, prior_entropy: 0.9135, recall: 0.9344, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, kb_relative_information_score: 467.8022, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 31.0003, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, kb_relative_information_score: 33.3231, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -397.5905, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.47, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -206.8693, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, kb_relative_information_score: -24.5833, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.9318, kappa: 0.8423, kb_relative_information_score: 4489.5534, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9395, predictive_accuracy: 0.9339, prior_entropy: 0.9135, recall: 0.9339, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -13.6259, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.932, kappa: 0.8426, kb_relative_information_score: 11665.4853, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9397, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, kb_relative_information_score: 664.4949, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, kb_relative_information_score: 2509.3572, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.932, kappa: 0.8427, kb_relative_information_score: 11550.1071, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 30.0963, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9273, kappa: 0.8322, kb_relative_information_score: 11654.6069, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9325, predictive_accuracy: 0.9292, prior_entropy: 0.9135, recall: 0.9292, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -58.5382, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 40.9472, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, kb_relative_information_score: 1483.5756, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -8.4804, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 10.0868, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.332, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -95.3394, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 56.5414, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9262, kappa: 0.8296, kb_relative_information_score: 10923.7109, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.931, predictive_accuracy: 0.928, prior_entropy: 0.9135, recall: 0.928, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8184, kappa: 0.5873, kb_relative_information_score: 6610.6077, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.818, predictive_accuracy: 0.819, prior_entropy: 0.9135, recall: 0.819, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, kb_relative_information_score: 89.0831, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -364.339, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4699, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.778, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -64.816, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -43.3871, mean_absolute_error: 0.4418, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, kb_relative_information_score: 57.0398, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, kb_relative_information_score: -6.3821, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.8389, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, kb_relative_information_score: 321.9941, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9302, kappa: 0.8387, kb_relative_information_score: 11641.4766, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9368, predictive_accuracy: 0.9322, prior_entropy: 0.9135, recall: 0.9322, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -225.6424, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.281, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 16.792, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.932, kappa: 0.8427, kb_relative_information_score: 5591.3342, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -37.3959, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, kb_relative_information_score: 1078.0108, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -4.3619, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, kb_relative_information_score: 361.1267, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 73.4885, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.2912, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 68.301, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 90.6072, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.046, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, kb_relative_information_score: 75.8359, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, kb_relative_information_score: 2141.3253, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.426, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1.1737, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 11.2549, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, kb_relative_information_score: -170.2924, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, kb_relative_information_score: -60.6574, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -278.2494, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, kb_relative_information_score: 32.8311, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -93.2273, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -77.3734, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.6925, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 51.8829, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, kb_relative_information_score: 627.0613, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, kb_relative_information_score: 319.7938, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, kb_relative_information_score: 54.2667, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.9147, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.1312, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.9264, kappa: 0.8302, kb_relative_information_score: 5363.7677, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9317, predictive_accuracy: 0.9283, prior_entropy: 0.9135, recall: 0.9283, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 34.3289, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8675, kappa: 0.6985, kb_relative_information_score: 8376.5308, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8671, predictive_accuracy: 0.868, prior_entropy: 0.9135, recall: 0.868, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, kb_relative_information_score: 1440.0108, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -91.9958, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -47.5858, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -105.719, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9301, kappa: 0.8384, kb_relative_information_score: 11488.3114, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9369, predictive_accuracy: 0.9321, prior_entropy: 0.9135, recall: 0.9321, relative_absolute_error: 0.2864, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.5096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -84.8131, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.3458, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 144.9777, mean_absolute_error: 0.4372, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, kb_relative_information_score: 1221.3663, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -150.2791, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, kb_relative_information_score: 1550.5298, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, kb_relative_information_score: 229.351, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7999, kappa: 0.5411, kb_relative_information_score: 4402.3509, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.799, predictive_accuracy: 0.8028, prior_entropy: 0.9135, recall: 0.8028, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.8121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, kb_relative_information_score: 160.0563, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9022, kappa: 0.7727, kb_relative_information_score: 4290.5342, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.917, predictive_accuracy: 0.9067, prior_entropy: 0.9135, recall: 0.9067, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.379, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, kb_relative_information_score: 1971.243, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, kb_relative_information_score: -119.1235, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, kb_relative_information_score: 57.0627, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 52.474, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs